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start_log_export

Queues a log export job for processing after creation. Use get_log_export to track progress and download_log_export to retrieve results once completed.

Instructions

Start processing a previously created log export job. This is asynchronous, only queues the export, and does not return rows or a download file; use get_log_export to poll progress and download_log_export after the job completes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
export_idYesThe unique ID of the log export to start

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYesWhether the tool call succeeded and returned structured data
dataNoStructured success payload when ok is true
errorNoStructured error payload when ok is false
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Discloses asynchronous behavior and queuing, beyond the annotations which indicate non-readonly/non-idempotent. No contradiction with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two concise sentences, no redundancy. Purpose is front-loaded, followed by essential behavioral notes. Every sentence adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's asynchronous nature and that an output schema exists, the description fully covers what the agent needs: start, no immediate result, and next steps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with a clear description for export_id. The description adds context that the export must be previously created, slightly enriching the parameter meaning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Start processing a previously created log export job.' using a specific verb and resource, and distinguishes it from sibling tools like get_log_export and download_log_export.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly explains when to use this tool (to start a job), what it does not do (no immediate rows or file), and provides alternatives for polling and downloading.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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